Raptor AI research hub
AI Rankings, GEO, and LLM Visibility
Field notes on how brands earn visibility inside ChatGPT, Claude, Perplexity, Google AI Overviews, and the next generation of answer engines. This is where we document the experiments, audits, wins, and misses behind our own authority push.
AI Rankings
How to track whether a brand appears in AI-generated answers, which competitors appear instead, and which sources influence the answer.
AI Audits
Prompt-set testing, citation review, entity checks, schema review, content gaps, and the practical scorecards we use for client work.
GEO and AEO
Generative engine optimization and answer engine optimization, explained without pretending they replace every traditional SEO principle.
AI-Ready Sites
How site structure, page copy, internal links, metadata, schema, robots rules, and crawl access affect machine understanding.
Start Here
Read the Raptor AI guide to SEO for AI
Start with the core framework: trust signals, topical authority, and AI-structured content.
Run the AI Brand Check tool
Use a simple prompt audit to see whether AI systems understand your brand correctly.
Review Raptor AI consulting services
See how AI visibility, AI-ready sites, memory systems, and training fit into paid work.
Published Research
We are early in the public log. The point is to show the work as it compounds, including low starting numbers, technical cleanup, and the experiments that do or do not move AI visibility.
- · Opinion· Amplifier Series· AI
AI Makes the Dumb, Dumber & The Smart, Smarter
AI is not an equalizer. It is an amplifier. Why the same tool multiplies judgment in one mind and credulity in another, what the equalizer studies actually measured, and the evidence that would prove this wrong.
Read part one of the Amplifier series - · Case Study· Web Builds· Local SEO
Building a Bilingual, Gallery-First Site for a Rio Grande Valley Contractor
How we rebuilt an 11-page marketing site for a decorative concrete and flooring contractor: gallery-first design, mobile-first UX, local structured data, and an automated regression suite, built to work in English and Spanish.
Read the article - · AI-SEO· GEO· Case Study
We Are Our Own Case Study: Documenting Raptor’s AI-SEO Journey
A public log of how we apply our own AI-SEO methodology to raptorai.dev: baseline metrics, weekly experiments, and what actually moves the needle in LLM visibility.
Read the Raptor AI public AI-SEO case study
Research Roadmap
These are the topics we need to own if Raptor AI is going to become a credible authority for AI rankings, AI audits, AI sites, consulting, and teaching. Each item is designed to become a standalone article, teardown, checklist, or tool.
- How to build a buyer-intent prompt set for an AI visibility audit.
- What ChatGPT, Claude, Perplexity, and Google AI Overviews each need from a source page.
- How llms.txt, robots.txt, sitemaps, schema, and HTML content fit together.
- What makes a service business credible enough for AI systems to cite.
- How to teach a non-technical team to maintain AI visibility after the first audit.